aws-samples/aurora-dsql-samples
May 2025 – Oct 2025
3 Months active
Languages Used
RustYAMLJavaTypeScriptGradleJavaScriptMarkdownShell
Technical Skills
API IntegrationAWS SDKCI/CDRefactoringRustCode Cleanup
Daniel Frankcom
PROFILE
Daniel Frankcom
Frank Com contributed to the aws-samples/aurora-dsql-samples repository by developing and maintaining sample code that demonstrates integration with AWS Aurora DSQL. Over three months, Frank refactored Rust-based cluster management tools to adopt the new AWS SDK for DSQL, ensuring compatibility and smoother migrations. He enhanced Java samples by integrating the Aurora DSQL JDBC Connector with Spring Boot and HikariCP, enabling IAM authentication and improving build automation through CI/CD workflow hardening. Frank also focused on repository hygiene, upgrading dependencies like TypeORM and removing outdated samples, which improved maintainability and reduced risk. His work emphasized robust DevOps practices and clear documentation.
Overall Statistics
Feature vs Bugs
83%Features
Repository Contributions
12Total
Bugs
1
Commits
12
Features
5
Lines of code
29,137
Activity Months3
Your Network
1398 people
Work History
October 2025
9 Commits • 3 Features
Oct 1, 2025October 2025 performance highlights for aws-samples/aurora-dsql-samples. Key outcomes include delivering integrated Aurora DSQL JDBC Connector across Java samples, hardening CI/CD workflows for security and reliability, and removing outdated samples to focus on tested, supported implementations. These changes enable customers to adopt DSQL with IAM-based authentication more easily, improve build consistency, and reduce maintenance overhead.
9 Commits • 3 Features
Oct 1, 2025October 2025 performance highlights for aws-samples/aurora-dsql-samples. Key outcomes include delivering integrated Aurora DSQL JDBC Connector across Java samples, hardening CI/CD workflows for security and reliability, and removing outdated samples to focus on tested, supported implementations. These changes enable customers to adopt DSQL with IAM-based authentication more easily, improve build consistency, and reduce maintenance overhead.
October 2025
September 2025
2 Commits • 1 Features
Sep 1, 2025Month 2025-09 summary for aws-samples/aurora-dsql-samples focusing on maintainability and stability improvements in the sample suite. Executed routine dependency maintenance and repository hygiene to reduce risk and set the stage for upcoming features.
September 2025
2 Commits • 1 Features
Sep 1, 2025Month 2025-09 summary for aws-samples/aurora-dsql-samples focusing on maintainability and stability improvements in the sample suite. Executed routine dependency maintenance and repository hygiene to reduce risk and set the stage for upcoming features.
May 2025
1 Commits • 1 Features
May 1, 2025May 2025 monthly summary focused on API migration and maintenance of cluster management tooling for AWS Aurora DSQL samples. The primary work involved updating Rust-based cluster management examples to align with the new AWS SDK for the DSQL API, ensuring forward compatibility and smoother migration for downstream users.
1 Commits • 1 Features
May 1, 2025May 2025 monthly summary focused on API migration and maintenance of cluster management tooling for AWS Aurora DSQL samples. The primary work involved updating Rust-based cluster management examples to align with the new AWS SDK for the DSQL API, ensuring forward compatibility and smoother migration for downstream users.
May 2025
Activity
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Quality Metrics
Correctness93.4%
Maintainability92.6%
Architecture92.6%
Performance90.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
GradleJavaJavaScriptMarkdownRustShellTypeScriptYAML
Technical Skills
API IntegrationAWS Aurora DSQLAWS SDKBuild AutomationCI/CDCode CleanupDatabase ConfigurationDependency ManagementDevOpsDocumentationGitHub ActionsHikariCPIAM AuthenticationJDBCJava
Repositories Contributed To
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